Meta Learning for Improved Neural Network Wavefield Solutions
Sign Up to like & getrecommendations! Published in 2024 at "Surveys in Geophysics"
DOI: 10.1007/s10712-024-09872-6
Abstract: Physics-informed neural networks (PINNs) provide a flexible and effective alternative for estimating seismic wavefield solutions due to their typical mesh-free and unsupervised features. However, their accuracy and training cost restrict their applicability. To address these… read more here.
Keywords: meta learning; neural network; learning improved; network ... See more keywords
Combining Supervised and Unsupervised Learning for Improved miRNA Target Prediction
Sign Up to like & getrecommendations! Published in 2018 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2017.2727042
Abstract: MicroRNAs (miRNAs) are short non-coding RNAs which bind to mRNAs and regulate their expression. MiRNAs have been found to be associated with initiation and progression of many complex diseases. Investigating miRNAs and their targets can… read more here.
Keywords: improved mirna; unsupervised learning; combining supervised; learning improved ... See more keywords
FASTEN: Fast Ensemble Learning for Improved Adversarial Robustness
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3336527
Abstract: Recent works show that adversarial attacks threaten the security of deep neural networks (DNNs). To tackle this issue, ensemble learning methods have been proposed to train multiple sub-models and improve adversarial resistance without compromising accuracy.… read more here.
Keywords: robustness; fasten fast; improved adversarial; ensemble learning ... See more keywords
Privacy-Preserving Federated Learning With Improved Personalization and Poison Rectification of Client Models
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3463532
Abstract: Federated Learning (FL), a secure and emerging distributed learning paradigm, has garnered significant interest in the Internet of Things (IoT) domain. However, it remains vulnerable to adversaries who may compromise privacy and integrity. Previous studies… read more here.
Keywords: privacy preserving; preserving federated; personalization; client ... See more keywords
Deep Learning and Improved HMM Training Algorithm and Its Analysis in Facial Expression Recognition of Sports Athletes
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1027735
Abstract: Facial expressions are an auxiliary embodiment of information conveyed in the communication between people. Facial expressions can not only convey the semantic information that people want to express but also convey the emotional state of… read more here.
Keywords: recognition; improved hmm; sports athletes; deep learning ... See more keywords